Machine-Learning-Tokyo / Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
β2,725Updated 6 months ago
Alternatives and similar repositories for Interactive_Tools:
Users that are interested in Interactive_Tools are comparing it to the libraries listed below
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectβ¦β12,480Updated 4 months ago
- Free course that takes you from zero to Reinforcement Learning PRO π¦Έπ»βπ¦Έπ½β1,097Updated 11 months ago
- This repo contains annotated research papers that I found really good and usefulβ2,716Updated last month
- Awesome free machine learning and AI courses with video lectures.β2,836Updated 2 months ago
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.β2,539Updated 3 years ago
- Teaching materials for the applied machine learning course at Cornell Tech (online edition)β1,109Updated 2 years ago
- VIP cheatsheets for Stanford's CS 230 Deep Learningβ6,448Updated 4 years ago
- PyTorch tutorials and best practices.β1,675Updated 2 years ago
- π§ A study guide to learn about Transformersβ1,558Updated last year
- π€ Machine Learning Summer School Guideβ2,693Updated this week
- Research papers with annotations, illustrations and explanationsβ829Updated 3 years ago
- Machine Learning Notebooksβ3,320Updated 10 months ago
- π₯ A collection of PyTorch notebooks for learning and practicing deep learningβ554Updated 2 years ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.β3,039Updated 6 months ago
- π Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.β2,837Updated last year
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra courseβ10,364Updated 10 months ago
- Machine learning lessons and teaching projects designed for engineersβ2,401Updated 7 months ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.β4,407Updated last year
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.β11,713Updated last month
- https://huyenchip.com/ml-interviews-book/β3,591Updated 8 months ago
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"β9,304Updated last year
- Data science interview questions with answers. Not ideally (yet)β1,603Updated 2 years ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.β1,138Updated last year
- Carefully curated resource links for data science in one placeβ3,003Updated 6 months ago
- The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.β1,859Updated 7 months ago
- this repository accompanies the book "Grokking Deep Learning"β7,528Updated 8 months ago
- A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep β¦β3,824Updated 7 months ago
- β342Updated 4 years ago
- β6,184Updated 4 months ago
- machine learning tutorials (mainly in Python3)β3,220Updated 3 months ago